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Speed Control of an Induction Moter using Fuzzy-Neural Controller  

Choi, Sung-Dae (건국대 공대 전기공학과)
Kim, Lark-Kyo (건국대 공대 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.55, no.10, 2006 , pp. 443-445 More about this Journal
Abstract
Generally PI controller is used to control the speed of an induction motor. It has the good performance of speed control in case of adjusting the control parameters. But it occurred the problem to change the control parameters in the change of operation condition. In order to solve this problem, Fuzzy control or Artificial neural network is introduced in the speed control of an induction motor. However, Fuzzy control have the problems as the difficulties to change the membership function and fuzzy rule and the remaining error Also Neural network has the problem as the difficulties to analyze the behavior of inner part. Therefore, the study on the combination of two controller is proceeded. In this paper, Fuzzy-neural controller to make up these controllers in parallel is proposed and the speed control of an induction motor is performed using the proposed controller Through the experiment, the fast response and good stability of the proposed speed controller is proved.
Keywords
Speed Control; Fuzzy-Neural; Induction Motor; Indirect Vector Control;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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